From Event: International Optical Design Conference - IODC 2021, 2021
Tolerance analysis and tolerance sensitivity optimization (desensitization) are important and necessary for manufacturability. However, compared to the optimization of optical performance, tolerance analysis is still time-consuming. A machine learning approach for the fast robustness estimation of lens systems is proposed. The results of the machine learning estimation and the other four different methods are compared with the results of the Monte Carlo analysis. The proposed model is added to the merit function in commercial software for optimization to reduce the sensitivity.
© (19 November 2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chia-Wei Chen, Bowen Zhou, Thomas Längle, and Jürgen Beyerer, "Robustness estimation of simple lens systems by machine learning," Proc. SPIE 12078, International Optical Design Conference 2021, 120781B (Presented at International Optical Design Conference - IODC 2021: 19 November 2021; Published: 19 November 2021); https://doi.org/10.1117/12.2603658.